CN101132214A - Resource transmitting equipment and method in MIMO system and distributing system and method thereof - Google Patents

Resource transmitting equipment and method in MIMO system and distributing system and method thereof Download PDF

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CN101132214A
CN101132214A CNA2007101224029A CN200710122402A CN101132214A CN 101132214 A CN101132214 A CN 101132214A CN A2007101224029 A CNA2007101224029 A CN A2007101224029A CN 200710122402 A CN200710122402 A CN 200710122402A CN 101132214 A CN101132214 A CN 101132214A
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user
speed
data
receiving
user service
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CN101132214B (en
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蒋海平
杨育波
田霖
袁珏
刘博�
石晶林
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Institute of Computing Technology of CAS
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Institute of Computing Technology of CAS
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Abstract

This invention relates to a sending device, a method, a distributing system and a method for down link radio resources in the MIMO system, in which, the system includes a sending device and a receiving device, and the sending device includes a judger of user kinds, a process device for low and high speed user business, the receiving device includes a test estimator for channel state and a process device for user business, the distributing method for down link radio resources includes executing processes of sending and receiving to execute business judgment at the sending and receiving devices to further distribute resources.

Description

Resource sending equipment and method and distribution system and method in MIMO system
Technical Field
The present invention relates to the field of wireless communication multi-antenna technology, and more particularly, to a downlink radio resource transmitting device, a downlink radio resource transmitting method, a downlink radio resource allocating system, and a downlink radio resource allocating method in multi-antenna technology.
Background
The new generation wireless communication network applies wireless physical transmission technology and signaling control technology, effectively increases the overall capacity of the system, and improves the frequency spectrum utilization rate of the system; meanwhile, wireless communication systems for services such as video conferencing, VOD on demand, etc. require support of very high data service rates.
Multiple-input multiple-output (MIMO) technology can meet the requirements of increasing system capacity and improving spectrum utilization through spatial multiplexing and multi-user diversity, and has great inherent advantages. The radio resource allocation mechanism plays a crucial role in the MIMO system, and greatly affects the system throughput, resource utilization, and the quality of service (QoS) requirements of users. Therefore, if a good radio resource allocation mechanism is adopted in the MIMO system, the system performance will be further improved.
At present, a method for scheduling and allocating wireless resources in an MIMO system mainly utilizes channel state information fed back by a receiving device, and a transmitting device selects a transmitting antenna group, a transmitting beam or a transmitting data time slot by adopting different resource allocation modes according to performance requirements, such as error code performance, minimum transmission rate and the like, of a user terminal in feedback information, so that the overall transmission throughput of the system is reasonable, a better user data scheduling list is obtained for transmission, and corresponding frequency band resources and transmission power allocated to the user terminal are obtained; in each scheduling allocation period, the sending device needs to obtain a new user data scheduling list according to the channel state information fed back by the receiving device, and adjust the corresponding wireless resource allocation mode, so that the loss of the system transmission capacity is small or the interference between user data is small. It can be seen that the existing wireless resource scheduling and allocating method only focuses on solving the problems of selection of transmitting antennas or beams and power allocation among antennas. Meanwhile, in a radio resource allocation algorithm in the existing MIMO system, scheduling of radio resources is performed by excessively depending on current channel state feedback information transmitted from a receiving device, and the channel state feedback information is all channel state information. In the MIMO system, if the transmitting device can completely know the current channel state feedback information in real time, the wireless resource allocation of the entire system can be optimized, so that the entire system capacity is maximized, and the transmission power of the entire system can be reduced as much as possible. Based on such consideration, it is generally considered that each user can obtain sufficiently accurate channel quality state information through channel estimation and can feed back the information to the transmitting device in real time, and then the transmitting device performs allocation of radio resources according to the channel quality state information fed back by each user in real time.
However, the radio resource allocation mechanism based on real-time full channel state information has the following disadvantages: on one hand, in a multi-user mobile environment, a wireless resource allocation mechanism based on channel state feedback in an MIMO system can only be suitable for low-speed user services, and for high-speed user services, resource allocation based on channel state feedback is not practical, mainly because the channel state changes slowly for the low-speed user services, the time of channel feedback can adapt to the scheduling period of a resource scheduling algorithm, and for the high-speed user services, the channel state changes rapidly, at the moment, all channel state information fed back from receiving equipment is relied on, the channel quality condition cannot be reflected in real time, and meanwhile, the QoS requirement of a user cannot be met; on the other hand, the wireless resource allocation mechanism based on the channel quality state feedback completely increases the feedback information quantity of the system and improves the complexity of the system.
Disclosure of Invention
The invention provides a downlink wireless resource sending device, a sending method, an allocation system and an allocation method thereof in an MIMO system, aiming at overcoming the defects that the channel quality condition can not be reflected in real time, the QoS requirement of a user can not be met and the complexity of the system is high in the prior art during wireless resource allocation.
A downlink radio resource transmission apparatus in a MIMO system, comprising:
the user type decision device receives the user service and/or the state information fed back by the receiving equipment, and executes the decision and data processing of the low-speed user service and the high-speed user service;
the low-speed user service MIMO resource scheduler receives the low-speed user service and/or the state information fed back by the receiving equipment, and allocates channel resources for data according to the low-speed user service output from the user type decision device;
the space domain time domain signal preprocessor receives the high-speed user service sent by the user type decision device and carries out signal preprocessing on the high-speed user data;
the high-speed user service MIMO resource scheduler receives data sent by the spatial domain and time domain signal preprocessor and/or state information fed back by receiving equipment, and allocates channel resources for the data output by the spatial domain and time domain signal preprocessor;
and the data transmitter and the transmitting antenna on the data transmitter are used for transmitting user data and receiving the channel state feedback signal from the receiving equipment.
Wherein, the user type judger comprises:
the information memory is used for caching the feedback information of the channel state fed back and sending the cached information to the calculator;
the calculator is used for calculating the channel feedback information to obtain the fluctuation state of the channel;
and the decision device compares the fluctuation state result output by the calculator with a preset threshold value to determine the user service type.
A downlink radio resource allocation system in a MIMO system, comprising:
the sending equipment is used for sending the low-speed user service and the high-speed user service;
the receiving equipment is used for receiving and recovering the user data sent by the sending equipment and can feed back the channel state information;
wherein the transmission apparatus includes:
the user type decision device receives the state information fed back by the user service and/or the receiving equipment, and executes the decision and data processing of the low-speed user service and the high-speed user service;
the low-speed user service MIMO resource scheduler receives the low-speed user service and/or the state information fed back by the receiving equipment, and allocates channel resources for data according to the low-speed user service output from the user type decision device;
the space domain time domain signal preprocessor is used for receiving the high-speed user service sent by the user type decision device and preprocessing the signal of the high-speed user data;
the high-speed user service MIMO resource scheduler receives data sent by the airspace time domain signal preprocessor and/or state information fed back by receiving equipment, and allocates channel resources for the data output by the airspace time domain signal preprocessor;
the data transmitter and a transmitting antenna on the data transmitter are used for transmitting user data and receiving a channel state feedback signal from the receiving equipment;
wherein, receiving arrangement includes:
the data receiver and a receiving antenna thereon receive the user data from the sending equipment, distinguish the channel state detection data from the user data, and respectively send the channel state detection data to the channel state detection estimator and the user data processor;
the channel state detection estimator is used for executing channel state detection and estimation in each resource scheduling period, generating channel state feedback information and feeding the channel state feedback information back to the sending equipment;
and the user data processor is used for processing the user data.
Wherein, the user type decision device in the transmitting device comprises:
the information memory is used for caching the feedback information of the channel state fed back and sending the cached information to the calculator;
the calculator is used for calculating the channel feedback information to obtain the fluctuation state of the channel;
and the decision device compares the fluctuation state result output by the calculator with a preset threshold value to determine the user service type.
The receiving device may include a user type decision unit, where the user type decision unit uses GPS technology to decide the current state of the user and outputs the user service type to the channel state detection estimator.
Wherein the user type decider in the receiving device comprises:
the GPS receiver receives GPS satellite signals and transmits the signals to the GPS data processor;
the GPS data processor processes the received GPS satellite signal to obtain the moving speed of the user terminal and sends the moving speed to the decision device;
and the decision device compares the moving speed of the user terminal with a preset speed threshold value and decides the service type of the user.
A downlink radio resource transmission method in a MIMO system, comprising:
step 110) the sending equipment receives the state information fed back by the receiving equipment;
step 120) the sending device judges whether the user service type is a low-speed user service or a high-speed user service;
step 130) the sending equipment executes a low-speed user resource allocation algorithm for the low-speed user service, performs signal preprocessing for the high-speed user service and executes a high-speed user resource allocation algorithm;
step 140) the sending device sends the user traffic via the data transmitter.
Wherein step 120) further comprises: the sending equipment judges and distinguishes the user service by the user type judger according to the state information fed back by the receiving equipment and by combining the service distinguishing factors in the system.
Wherein, the low-speed user resource allocation algorithm in step 130) adopts feedback information based on complete channel state, selects an optimal channel by preprocessing the channel state information, and allocates channel resources for the low-speed user service by a method of inter-user interference elimination and a method of channel state matrix transformation; the high-speed user resource allocation algorithm in step 130) processes the transmitted data by adopting a spatial signal processing technology, and further adopts a method for preprocessing a space domain signal and a time domain signal of the transmitted signal, so that the receiving device decodes after continuously receiving the coding blocks, and acquires correct data transmitted by the transmitting device.
A downlink radio resource allocation method in a MIMO system, comprising:
and a sending execution process:
step 210) the sending equipment receives the state information fed back by the receiving equipment;
step 220) the sending equipment judges whether the user service type is a low-speed user service or a high-speed user service;
step 230) the sending equipment executes a low-speed user resource allocation algorithm on the low-speed user service, performs signal preprocessing on the high-speed user service and executes a high-speed user resource allocation algorithm;
step 240) the sending equipment sends user service through the data transmitter;
receiving and executing processes:
step 310) receiving the user service from the sending device by the receiving device, and respectively processing the channel state detection data and the user data;
step 320) the receiving device feeds back the user service state and channel state feedback information to the sending device.
Wherein, step 220) further comprises: the sending equipment combines the service distinguishing factor in the system according to the state information fed back by the receiving equipment, and the user type decision device decides and distinguishes the user service.
Wherein, the low-speed user resource allocation algorithm in step 230) adopts feedback information based on complete channel state, selects an optimal channel by preprocessing the channel state information, and allocates channel resources for the low-speed user service by a method of eliminating interference between users and a method of channel state matrix transformation; the high-speed user resource allocation algorithm in step 230) processes the transmitted data by adopting a spatial signal processing technology, and further adopts a method for preprocessing a space domain signal and a time domain signal of the transmitted signal, so that the receiving device decodes after continuously receiving the coding blocks, and acquires correct data transmitted by the transmitting device.
Wherein the receiving execution process further comprises:
the receiving equipment judges the user type, measures the self moving speed according to the GPS technology, compares the self moving speed with a moving speed threshold set by a system, judges the user service type, and then executes partial channel state information feedback or complete channel state information feedback according to the judgment result.
By applying the invention, the low-speed user service and the high-speed user service are distinguished in the system, and different wireless resource scheduling methods are respectively used, thereby improving the system capacity and the spectrum utilization rate and better ensuring the QoS requirement of the user.
Drawings
Fig. 1 is a block diagram of a MIMO system architecture in which a receiving device has a user type decision device;
fig. 2 is a diagram of a MIMO system transmission device user type determiner framework;
FIG. 3 is a diagram of a MIMO system receiving device user type decision maker framework;
FIG. 4 is a block diagram of a MIMO system architecture in which the receiving device does not have a user type decision device;
FIG. 5 is a flowchart of an overall downlink radio resource allocation of the MIMO system;
fig. 6 is a flow chart of determining user traffic type by a MIMO system transmitting device.
Detailed Description
In the prior art, a method for scheduling and allocating wireless resources in an MIMO system utilizes channel state information fed back by a receiving device, and a transmitting device selects a transmitting antenna group, a transmitting beam or a transmitting data time slot according to a performance requirement of a user terminal in the feedback information, so that the overall transmission throughput of the system is reasonable, and the system is allocated to corresponding frequency band resources and transmission power of the user terminal. The user services with different speeds are not distinguished, and corresponding processing measures are not provided.
For high-speed user service, the channel state changes rapidly, and at this time, the channel quality condition cannot be reflected in real time and the QoS requirement of the user cannot be met depending on all channel state information fed back from the receiving device.
As shown in fig. 1, the present invention provides a downlink radio resource allocation system in a MIMO system, including:
the sending equipment is used for sending the low-speed user service and the high-speed user service;
and the receiving equipment is used for receiving and recovering the user data sent by the sending equipment and can feed back the channel state information.
Wherein, this system transmission equipment includes:
a user type decision device for receiving the state information fed back by the user service and/or the receiving device, executing the decision of the low-speed user service and the high-speed user service at the sending device, dividing the user service into two major services of the low-speed user service and the high-speed user service, and further executing different data processing, wherein the output end of the user type decision device is connected with a low-speed user service MIMO resource scheduler and a space-domain time-domain signal preprocessor, and respectively sending the decided classified low-speed user service and high-speed user service to the low-speed user service MIMO resource scheduler and the space-domain time-domain signal preprocessor;
the user type decider is composed of an information memory, a calculator and a decider, as shown in fig. 2. The input end of the information memory is connected with a data line of the state information fed back by the receiving equipment, the output end of the information memory is connected with the calculator, the output end of the calculator is connected with the decision device, and the output end of the decision device is respectively connected with the low-speed user service MIMO resource scheduler and the spatial domain time domain signal preprocessor; the information memory is used for caching the feedback information of the channel state fed back and sending the cached information to the calculator for calculating the fluctuation of the channel state; the calculator is used for calculating the previous channel feedback information to obtain the fluctuation state of the channel; the judger is used for comparing the fluctuation state result obtained by the calculation of the calculator with a preset threshold value, determining the user service type, outputting each user service data after the judgment of the service type, and sending the data to the corresponding resource scheduler;
the low-speed user service MIMO resource scheduler receives the low-speed user service and/or the state information fed back by the receiving equipment, allocates optimal channel resources according to the low-speed user service output by the user type decision device, sends data to the data transmitter and simultaneously minimizes the transmission power of the system;
the space domain time domain signal preprocessor, the input end is connected with the user type decision device, the output end is connected with the following high-speed user service MIMO resource scheduler, receives the high-speed user service sent by the user type decision device, carries out signal preprocessing on the high-speed user data, and sends the processed data to the following high-speed user service MIMO resource scheduler;
the input end of the high-speed user service MIMO resource scheduler is connected with a data line of state information fed back by the space domain time domain signal preprocessor and the receiving equipment, and the output end of the high-speed user service MIMO resource scheduler is connected with the data transmitter, receives data sent by the space domain time domain signal preprocessor and/or state information fed back by the receiving equipment, distributes optimal channel resources for the processed data output by the space domain time domain signal preprocessor, and optimizes the overall transmission power of the system;
the data transmitter and the transmitting antenna thereon, the user transmits user data and receives a channel state feedback signal from the receiving device.
As shown in fig. 5, the sending device executes a process including the steps of:
(a) The sending equipment receives the feedback state information from the receiving equipment, judges whether the low-speed user service or the high-speed user service is distinguished by the user type judger according to the state information fed back by the receiving equipment and by combining service distinguishing factors such as a scheduling period and the like in the system, and respectively sends different user services to the low-speed user service MIMO resource scheduler and the high-speed user service MIMO resource scheduler;
the partial channel state feedback information may include the SNR value of each channel corresponding to an antenna pair between each transmitting device and each receiving device, a channel quality measurement value, and the like, and the complete channel state feedback information may include all physical characteristics, such as the SNR value of each channel, signal strength, interference strength, channel impulse response, and the like. In addition, the user status information fed back by the receiving device may be set in a feedback message, and part of the channel status information may be detected by transmitting a detection sequence within a frame transmission interval and then fed back to the transmitting device through a dedicated feedback channel.
(b) If the user type judger of the sending equipment judges the current service type as the low-speed user service, the low-speed user service MIMO resource scheduler executes the low-speed user service resource allocation algorithm. The low-speed user service resource allocation algorithm adopts feedback information based on complete channel state, selects an optimal channel by preprocessing the channel state information, and allocates channel resources for the low-speed user service; furthermore, the method of channel optimization allocation and interference elimination can be used for integrally optimizing the allocation of channel resources, and simultaneously reducing and even eliminating the signal interference among users.
(c) If the user type judger of the sending equipment judges the current service type to be the high-speed user service, the user type judger does not rely on the feedback information of the channel state any more, and the resource allocation algorithm processes the sent data by adopting the space signal processing technology, so that the receiving equipment can correctly receive the data; in the resource allocation algorithm of the high-speed user service, a method for preprocessing signals in a space domain and a time domain of the transmitted signals is further adopted, so that the receiving equipment decodes after continuously receiving the coding blocks, and acquires correct signals transmitted by the transmitting equipment.
(d) The transmitting device transmits user information through the respective antennas by a data transmitter.
The system receiving apparatus includes:
the data receiver and a receiving antenna on the data receiver are used for receiving user data from the sending equipment, distinguishing channel state detection data from the user data, and sending the channel state detection data to the channel state detection estimator and the user data processor;
a user type decision device, which adopts GPS technology to decide whether the current state of the user is low speed or high speed, outputs the current state information of the user, and sends the state information as output to a channel state detection estimator; the user type decision device consists of a GPS receiver, a GPS data processor and a decision device, and is shown in figure 3; the GPS receiver receives GPS satellite signals and sends the signals to the GPS data processor; the input end of the GPS data processor is connected with the GPS receiver, the output end of the GPS data processor is connected with the decision device, and the GPS data processor processes the received GPS satellite signal to obtain the moving speed of the user terminal and sends the moving speed to the decision device to execute speed decision; the judger compares the moving speed of user terminal with speed threshold value, judges the final user service type, and sends it to the channel state detection estimator; the present invention can only adopt the sending device to judge the user type, when only adopting the sending device user type, the present invention does not adopt the receiving device user type, the receiving device in the system can not comprise the user type judger of the receiving device, and the structure chart of the system is shown in fig. 4.
The channel state detection estimator is connected with the data receiver and the user type decision device, executes channel state detection and estimation in each resource scheduling period, generates channel state feedback information and feeds the channel state feedback information back to the sending equipment; the partial channel state feedback information may include the SNR of each channel corresponding to an antenna pair between each transmitting device and each receiving device, a channel quality measurement value, and the like; the complete channel state feedback information may include all physical characteristics such as SNR values of the respective channels, signal strength, interference strength, channel impulse response, etc.
And the user data processor is used for processing the user data.
As shown in fig. 5, the receiving device executes the main steps of the process including:
(a) The receiving equipment receives the user information from the sending equipment through the receiving antenna and the data receiver, and distinguishes and processes the channel state detection data and the user data;
(b) And the receiving equipment feeds back the state information of the sending equipment.
Wherein, the decision of the user type can be executed in two cases at the receiving device and the transmitting device.
(1) If the receiving equipment does not have the GPS data receiving and processing function, namely a GPS data receiving processor does not exist, the sending equipment is adopted to judge the user type; the sending device judges the fluctuation condition of the channel according to the partial channel state information fed back by the receiving device, and judges the user type by combining the scheduling period, at this time, the scheduling period is used for judging whether the channel state information fed back by the sending device each time can be accurately and timely applied to the resource scheduling process each time.
(2) If the receiving equipment is provided with a GPS data receiving processor, the receiving equipment firstly judges the user type, measures the self moving speed according to the GPS technology, compares the self moving speed with a moving speed threshold value set by a system to judge whether the self user type is a low-speed user or a high-speed user, and then executes partial channel state information or complete channel state information feedback according to the self judging result, so that the feedback information quantity can be reduced, and at the moment, the user type information and the channel state feedback information are fed back to the sending equipment; at the transmitting device, the user type decider will perform the process in (1) to make further decisions based on the fed back channel state information.
The following further describes the method for allocating radio resources in the downlink of the MIMO system according to whether the receiving device has the GPS data processing function.
1. The receiving equipment does not have the GPS data receiving and processing function
The transmitting device in the MIMO system executes the following processes:
(1) And a user type decision device of the sending equipment decides whether the service of the user is a low-speed user service or a high-speed user service according to the partial channel information fed back by the receiving equipment and by combining factors such as a scheduling period of a system. As shown in fig. 6, if the time interval t of each feedback information is greater than the scheduling period Tschedule of the system, the feedback information cannot be utilized in the current resource scheduling process, and thus the user service is determined to be a high-speed user service; otherwise, the user service needs the sending device to further judge in combination with the fluctuation condition of the channel state, in the process, one method may be that the sending device performs mean square statistical averaging on the partial channel state information fed back k times before according to formula (1),
then, in each resource scheduling period, the mean square statistical average value of the channel feedback information of the current period and the channel state information of the previous k times is used for calculating a channel state fluctuation factor epsilon according to a formula (2), and the fluctuation factor epsilon is compared with a threshold epsilon th And comparing and judging the overall fluctuation condition of the current channel state.
Figure A20071012240200191
If epsilon is more than or equal to epsilon in the current resource scheduling period th If the channel state fluctuation is too severe, the sending equipment judges that the user service is a high-speed user service, otherwise, the user service is a low-speed user service.
Of course, the above is only a simple decision method that can be adopted, but is not limited to this method.
(2) If the user type decision device decides that the current user service is a low-speed user service, the user service is sent to a low-speed user service MIMO resource scheduler, and a low-speed user service resource allocation algorithm is adopted. At this time, the transmitting device forms the current channel matrix H according to the complete channel state feedback information. For a specific resource allocation algorithm, an optimal channel can be selected to be allocated to a user in combination with the transmission power condition of the system, and the method that can be adopted is as follows: (a) Under the condition of knowing a channel matrix, the transmitted signals can be transformed, and a proper precoding matrix is searched, so that the interference among users of the actually transmitted signals can be eliminated at receiving equipment, and meanwhile, the transmission capacity of the system is maximized under the condition of certain transmission power. (b) Under the condition of knowing a channel matrix, a matrix transformation method such as Singular Value Decomposition (SVD) and the like can be carried out on the channel matrix to transform the channel matrix into a diagonal matrix, and a channel with the largest characteristic value is searched in the diagonal matrix and is distributed to users, so that the minimum system transmission power is achieved. The above are only two approaches that can be implemented, but are not limited to these two approaches, and any approach that can be modified simply is within the scope of this disclosure.
(3) If the user type decision device decides that the current user service is a high-speed user service, a high-speed user service resource allocation algorithm is adopted. At this point the transmitting device will no longer rely on the partial channel state information being fed back. The transmitting equipment carries out signal preprocessing method in space domain and time domain for user service to be transmitted. One of the signal preprocessing methods is to use Space Time Block Coding (Space Time Block Coding) technology, and to use completely orthogonal Space Time Block Coding, the system can achieve full diversity, and when using quasi-orthogonal Space Time Block Coding, the system can achieve full rate. In this case, the receiving device can restore the original transmission data without requiring real-time channel state information for the transmitting device.
(4) The sending device sends out the user information through the data transmitter via the transmitting antenna.
The receiving device in the MIMO system executes the following processes:
(1) The receiving device receives the user information from the transmitting device through the receiving antenna by the data receiver, and discriminates between processing channel state detection data and user data.
(2) The receiving device feeds back channel state feedback information to the sending device, and the channel state feedback information can be transmitted through a dedicated channel between the sending device and the receiving device.
2. The receiving equipment has the function of receiving and processing GPS data
The transmitting device in the MIMO system executes the following processes:
(1) If the receiving device adopts the self-moving speed V measured by the GPS technology and the low-speed/high-speed user speed decision threshold value V th When approaching, i.e. | V-V th If | < σ (σ is a pre-specified value), the sending device may further determine the type of the user according to the channel state information fed back by the receiving device, and specifically mayIn order to adopt a similar method as described above. If the self moving speed V and the low speed/high speed user speed decision threshold V th When the user type is not close to the receiving device, the user type judgment is not required to be executed again by the sending device according to the user type judged by the receiving device. If the current user service is judged to be a low-speed user service, the user type judger sends the user service to a low-speed user service MIMO resource scheduler; if the user service is the high-speed user service, the user type decision device sends the user service to the high-speed user service MIMO resource scheduler.
(2) If the current user service is a low-speed user service, the specific resource scheduling algorithm executed by the MIMO resource scheduler for the low-speed user service may refer to the contents described in embodiment 1.
(3) If the current user service is a high-speed user service, the specific resource scheduling algorithm executed by the high-speed user service MIMO resource scheduler may refer to the contents described in embodiment 1.
(4) The sending device sends out the user information through the data transmitter via the transmitting antenna.
The receiving device in the MIMO system executes the following processes:
(1) The receiving equipment adopts GPS technology, the GPS data receiving processor calculates the moving speed V of the receiving equipment and compares the moving speed V with the low speed/high speed user speed threshold value V set by the system th A comparison is made. If it is currentlyUser's moving speed V < V th If not, the user is judged to be a high-speed user.
(2) The receiving device receives the user information from the transmitting device through the receiving antenna by the data receiver at the same time, and discriminates and processes the channel state detection data and the user data.
And the receiving equipment sets user state information in the feedback information and sends the user state information and the channel state information to the receiving equipment, wherein the user state information and the channel state feedback information can be transmitted through a special channel between the sending equipment and the receiving equipment.
Finally, it should be noted that the above embodiments are only intended to illustrate the technical solutions of the present invention and not to limit the same, and can be extended in application to other modifications, variations, applications and embodiments, and all such modifications, variations, applications, embodiments are considered to be within the spirit and scope of the present invention.

Claims (13)

1. A downlink radio resource transmitting apparatus in a MIMO system, comprising:
the user type decision device receives the state information fed back by the user service and/or the receiving equipment, and executes the decision and data processing of the low-speed user service and the high-speed user service;
the low-speed user service MIMO resource scheduler receives the low-speed user service and/or the state information fed back by the receiving equipment, and allocates channel resources for data according to the low-speed user service output from the user type decision device;
the space domain time domain signal preprocessor is used for receiving the high-speed user service sent by the user type decision device and preprocessing the signal of the high-speed user data;
the high-speed user service MIMO resource scheduler receives data sent by the airspace time domain signal preprocessor and/or state information fed back by receiving equipment, and allocates channel resources for the data output by the airspace time domain signal preprocessor;
and the data transmitter and the transmitting antenna thereon are used for transmitting the user data and receiving the channel state feedback signal from the receiving equipment.
2. The transmission apparatus of claim 1, wherein the user type determiner comprises:
the information memory is used for caching the feedback information of the channel state fed back and sending the cached information to the calculator;
the calculator is used for calculating the channel feedback information to obtain the fluctuation state of the channel;
and the decision device compares the fluctuation state result output by the calculator with a preset threshold value to determine the user service type.
3. A downlink radio resource allocation system in a MIMO system, comprising:
the sending equipment is used for sending the low-speed user service and the high-speed user service;
the receiving equipment is used for receiving and recovering the user data sent by the sending equipment and can feed back the channel state information;
wherein the transmission apparatus includes:
the user type decision device receives the user service and/or the state information fed back by the receiving equipment, and executes the decision and data processing of the low-speed user service and the high-speed user service;
the low-speed user service MIMO resource scheduler receives the low-speed user service and/or the state information fed back by the receiving equipment, and allocates channel resources for data according to the low-speed user service output from the user type decision device;
the space domain time domain signal preprocessor receives the high-speed user service sent by the user type decision device and carries out signal preprocessing on the high-speed user data;
the high-speed user service MIMO resource scheduler receives data sent by the spatial domain and time domain signal preprocessor and/or state information fed back by receiving equipment, and allocates channel resources for the data output by the spatial domain and time domain signal preprocessor;
the data transmitter and a transmitting antenna on the data transmitter are used for transmitting user data and receiving a channel state feedback signal from the receiving equipment;
wherein, receiving arrangement includes:
the data receiver and a receiving antenna on the data receiver are used for receiving the user data from the sending equipment, distinguishing the channel state detection data from the user data, and respectively sending the channel state detection data to the channel state detection estimator and the user data processor;
the channel state detection estimator executes channel state detection and estimation in each resource scheduling period, generates channel state feedback information and feeds the channel state feedback information back to the sending equipment;
and the user data processor is used for processing the user data.
4. The system of claim 3, wherein the user type determiner, comprises:
the information memory is used for caching the feedback information of the channel state fed back and sending the cached information to the calculator;
the calculator is used for calculating the channel feedback information to obtain the fluctuation state of the channel;
and the decision device compares the fluctuation state result output by the calculator with a preset threshold value to determine the user service type.
5. The system of claim 3, wherein the receiving device comprises a user type decider for deciding a current state of the user using a GPS technique and outputting a user traffic type to the channel state detection estimator.
6. The system of claim 5, wherein the user type decider comprises:
the GPS receiver receives GPS satellite signals and sends the signals to the GPS data processor;
the GPS data processor processes the received GPS satellite signal to obtain the moving speed of the user terminal and sends the moving speed to the decision device;
and the judger compares the moving speed of the user terminal with a preset speed threshold value and judges the service type of the user.
7. A downlink radio resource transmission method in a MIMO system, comprising:
step 110) the sending equipment receives the state information fed back by the receiving equipment;
step 120) the sending equipment judges whether the user service type is a low-speed user service or a high-speed user service;
step 130) the sending equipment executes a low-speed user resource allocation algorithm for the low-speed user service, performs signal preprocessing for the high-speed user service and executes a high-speed user resource allocation algorithm;
step 140) the sending device sends the user traffic via the data transmitter.
8. A downlink radio resource allocation method in a MIMO system, comprising:
and a sending execution process:
step 210) the sending equipment receives the state information fed back by the receiving equipment;
step 220) the sending equipment judges whether the user service type is a low-speed user service or a high-speed user service;
step 230) the sending equipment executes a low-speed user resource allocation algorithm on the low-speed user service, performs signal preprocessing on the high-speed user service and executes a high-speed user resource allocation algorithm;
step 240) the sending device sends the user service through the data transmitter;
receiving and executing processes:
step 310) receiving the user service from the sending device by the receiving device, and respectively processing the channel state detection data and the user data;
step 320) the receiving device feeds back the user service state and channel state feedback information to the sending device.
9. The method of claim 7, wherein step 120) further comprises: the sending equipment judges and distinguishes the user service by the user type judger according to the state information fed back by the receiving equipment and by combining the service distinguishing factors in the system.
10. The method of claim 7, wherein, in step 130), said low-speed user resource allocation algorithm selects an optimal channel by preprocessing the channel state information based on the complete channel state feedback information, and allocates channel resources for the low-speed user traffic by a method of inter-user interference elimination and a method of channel state matrix transformation; the high-speed user resource allocation algorithm in step 130) processes the transmitted data by using a spatial signal processing technique, and further uses a method for preprocessing signals in a space domain and a time domain of the transmitted signals, so that the receiving device decodes after continuously receiving the encoded blocks, and acquires correct data transmitted by the transmitting device.
11. The method of claim 8, wherein step 220) further comprises: the sending equipment combines the service distinguishing factor in the system according to the state information fed back by the receiving equipment, and the user type decision device decides and distinguishes the user service.
12. The method of claim 8, wherein, in step 230), said low-speed user resource allocation algorithm selects an optimal channel by preprocessing the channel state information based on the complete channel state feedback information, and allocates channel resources for said low-speed user traffic by a method of inter-user interference cancellation and a method of channel state matrix transformation; the high-speed user resource allocation algorithm in step 230) processes the transmitted data by adopting a spatial signal processing technology, and further adopts a method for preprocessing signals in a space domain and a time domain of the transmitted signals, so that the receiving device decodes after continuously receiving the coded blocks, and acquires correct data transmitted by the transmitting device.
13. The method of claim 8, wherein the receiving performs a process further comprising:
the receiving equipment executes the judgment of the user type, measures the self moving speed according to the GPS technology, compares the self moving speed with a moving speed threshold set by a system, judges the service type of the user, and then executes the feedback of partial channel state information or the feedback of complete channel state information according to the judgment result.
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